Automotive Artificial Intelligence - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509247608

Publication Date:

September 23, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Automobile artificial intelligence is a comprehensive system that integrates environmental perception, planning and decision-making, and multi-level assisted driving. It focuses on the use of computers, modern sensing, information fusion, communication, artificial intelligence and automatic control technologies, which are typical High-tech complex.
The global market for Automotive Artificial Intelligence was estimated to be worth US$ 2799.8 million in 2023 and is forecast to a readjusted size of US$ 3607.5 million by 2030 with a CAGR of 3.6% during the forecast period 2024-2030
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia, Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Automotive Artificial Intelligence, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Automotive Artificial Intelligence by region & country, by Type, and by Application.
The Automotive Artificial Intelligence market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automotive Artificial Intelligence.
Market Segmentation
By Company
NVIDIA Corporation (US)
Alphabet Inc. (US)
Intel Corporation (US)
IBM Corporation (US)
Microsoft Corporation (US)
Harman International Industries Inc. (US)
Segment by Type:
Automatic Drive
ADAS
Segment by Application
Passanger Cars
Commercial Vehicles
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Automotive Artificial Intelligence manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Automotive Artificial Intelligence in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Automotive Artificial Intelligence in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Automotive Artificial Intelligence Product Introduction
1.2 Global Automotive Artificial Intelligence Market Size Forecast
1.3 Automotive Artificial Intelligence Market Trends & Drivers
1.3.1 Automotive Artificial Intelligence Industry Trends
1.3.2 Automotive Artificial Intelligence Market Drivers & Opportunity
1.3.3 Automotive Artificial Intelligence Market Challenges
1.3.4 Automotive Artificial Intelligence Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Automotive Artificial Intelligence Players Revenue Ranking (2023)
2.2 Global Automotive Artificial Intelligence Revenue by Company (2019-2024)
2.3 Key Companies Automotive Artificial Intelligence Manufacturing Base Distribution and Headquarters
2.4 Key Companies Automotive Artificial Intelligence Product Offered
2.5 Key Companies Time to Begin Mass Production of Automotive Artificial Intelligence
2.6 Automotive Artificial Intelligence Market Competitive Analysis
2.6.1 Automotive Artificial Intelligence Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Automotive Artificial Intelligence Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Automotive Artificial Intelligence as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Automatic Drive
3.1.2 ADAS
3.2 Global Automotive Artificial Intelligence Sales Value by Type
3.2.1 Global Automotive Artificial Intelligence Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Automotive Artificial Intelligence Sales Value, by Type (2019-2030)
3.2.3 Global Automotive Artificial Intelligence Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Passanger Cars
4.1.2 Commercial Vehicles
4.2 Global Automotive Artificial Intelligence Sales Value by Application
4.2.1 Global Automotive Artificial Intelligence Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Automotive Artificial Intelligence Sales Value, by Application (2019-2030)
4.2.3 Global Automotive Artificial Intelligence Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Automotive Artificial Intelligence Sales Value by Region
5.1.1 Global Automotive Artificial Intelligence Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Automotive Artificial Intelligence Sales Value by Region (2019-2024)
5.1.3 Global Automotive Artificial Intelligence Sales Value by Region (2025-2030)
5.1.4 Global Automotive Artificial Intelligence Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Automotive Artificial Intelligence Sales Value, 2019-2030
5.2.2 North America Automotive Artificial Intelligence Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Automotive Artificial Intelligence Sales Value, 2019-2030
5.3.2 Europe Automotive Artificial Intelligence Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Automotive Artificial Intelligence Sales Value, 2019-2030
5.4.2 Asia Pacific Automotive Artificial Intelligence Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Automotive Artificial Intelligence Sales Value, 2019-2030
5.5.2 South America Automotive Artificial Intelligence Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Automotive Artificial Intelligence Sales Value, 2019-2030
5.6.2 Middle East & Africa Automotive Artificial Intelligence Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Automotive Artificial Intelligence Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Automotive Artificial Intelligence Sales Value
6.3 United States
6.3.1 United States Automotive Artificial Intelligence Sales Value, 2019-2030
6.3.2 United States Automotive Artificial Intelligence Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Automotive Artificial Intelligence Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Automotive Artificial Intelligence Sales Value, 2019-2030
6.4.2 Europe Automotive Artificial Intelligence Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Automotive Artificial Intelligence Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Automotive Artificial Intelligence Sales Value, 2019-2030
6.5.2 China Automotive Artificial Intelligence Sales Value by Type (%), 2023 VS 2030
6.5.3 China Automotive Artificial Intelligence Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Automotive Artificial Intelligence Sales Value, 2019-2030
6.6.2 Japan Automotive Artificial Intelligence Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Automotive Artificial Intelligence Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Automotive Artificial Intelligence Sales Value, 2019-2030
6.7.2 South Korea Automotive Artificial Intelligence Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Automotive Artificial Intelligence Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Automotive Artificial Intelligence Sales Value, 2019-2030
6.8.2 Southeast Asia Automotive Artificial Intelligence Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Automotive Artificial Intelligence Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Automotive Artificial Intelligence Sales Value, 2019-2030
6.9.2 India Automotive Artificial Intelligence Sales Value by Type (%), 2023 VS 2030
6.9.3 India Automotive Artificial Intelligence Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 NVIDIA Corporation (US)
7.1.1 NVIDIA Corporation (US) Profile
7.1.2 NVIDIA Corporation (US) Main Business
7.1.3 NVIDIA Corporation (US) Automotive Artificial Intelligence Products, Services and Solutions
7.1.4 NVIDIA Corporation (US) Automotive Artificial Intelligence Revenue (US$ Million) & (2019-2024)
7.1.5 NVIDIA Corporation (US) Recent Developments
7.2 Alphabet Inc. (US)
7.2.1 Alphabet Inc. (US) Profile
7.2.2 Alphabet Inc. (US) Main Business
7.2.3 Alphabet Inc. (US) Automotive Artificial Intelligence Products, Services and Solutions
7.2.4 Alphabet Inc. (US) Automotive Artificial Intelligence Revenue (US$ Million) & (2019-2024)
7.2.5 Alphabet Inc. (US) Recent Developments
7.3 Intel Corporation (US)
7.3.1 Intel Corporation (US) Profile
7.3.2 Intel Corporation (US) Main Business
7.3.3 Intel Corporation (US) Automotive Artificial Intelligence Products, Services and Solutions
7.3.4 Intel Corporation (US) Automotive Artificial Intelligence Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Corporation (US) Recent Developments
7.4 IBM Corporation (US)
7.4.1 IBM Corporation (US) Profile
7.4.2 IBM Corporation (US) Main Business
7.4.3 IBM Corporation (US) Automotive Artificial Intelligence Products, Services and Solutions
7.4.4 IBM Corporation (US) Automotive Artificial Intelligence Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Corporation (US) Recent Developments
7.5 Microsoft Corporation (US)
7.5.1 Microsoft Corporation (US) Profile
7.5.2 Microsoft Corporation (US) Main Business
7.5.3 Microsoft Corporation (US) Automotive Artificial Intelligence Products, Services and Solutions
7.5.4 Microsoft Corporation (US) Automotive Artificial Intelligence Revenue (US$ Million) & (2019-2024)
7.5.5 Microsoft Corporation (US) Recent Developments
7.6 Harman International Industries Inc. (US)
7.6.1 Harman International Industries Inc. (US) Profile
7.6.2 Harman International Industries Inc. (US) Main Business
7.6.3 Harman International Industries Inc. (US) Automotive Artificial Intelligence Products, Services and Solutions
7.6.4 Harman International Industries Inc. (US) Automotive Artificial Intelligence Revenue (US$ Million) & (2019-2024)
7.6.5 Harman International Industries Inc. (US) Recent Developments
8 Industry Chain Analysis
8.1 Automotive Artificial Intelligence Industrial Chain
8.2 Automotive Artificial Intelligence Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Automotive Artificial Intelligence Sales Model
8.5.2 Sales Channel
8.5.3 Automotive Artificial Intelligence Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

NVIDIA Corporation (US)
Alphabet Inc. (US)
Intel Corporation (US)
IBM Corporation (US)
Microsoft Corporation (US)
Harman International Industries Inc. (US)

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